MTE 1904 vs Kisvarda FC: result 0-3 and analysis
Magyar Kupa4th RoundKick-off on October 19, 2022 at 11:30 AM (UTC)Wittmann Antal park, Mosonmagyaróvár
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What was the result of MTE 1904 vs Kisvarda FC?
Kisvarda FC won 0-3 on October 19, 2022.
Goalscorers
- 45′B. MelnykKisvarda FC
- 49′J. NavrátilKisvarda FC
- 62′M. IlievskiKisvarda FC
What is the recent form of both teams?
Over their last 15 matches in all competitions, MTE 1904 have 6 wins, 2 draws and 7 defeats; Kisvarda FC have 8, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 16, 2022 | Kozarmisleny FC(away) | 4-0 | NB II |
| Oct 9, 2022 | Szeged 2011(away) | 1-0 | NB II |
| Oct 5, 2022 | Budafoki LC(home) | 0-1 | NB II |
| Oct 2, 2022 | Bekescsaba 1912(away) | 1-0 | NB II |
| Sep 17, 2022 | Füzesgyarmati(away) | 2-1 | Magyar Kupa |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 14, 2022 | Kecskeméti TE(away) | 3-3 | NB I |
| Oct 8, 2022 | Vasas(home) | 2-0 | NB I |
| Oct 1, 2022 | Ujpest(away) | 0-4 | NB I |
| Sep 17, 2022 | BVSC(away) | 2-0 | Magyar Kupa |
| Sep 11, 2022 | Ferencvarosi TC(away) | 0-3 | NB I |
What does the head-to-head say?
Across the last 4 meetings: 1 MTE 1904 win(s), 2 draw(s), 1 Kisvarda FC win(s).
| Date | Score | Competition |
|---|---|---|
| Dec 3, 2017 | MTE 1904 1-2 Kisvarda FC | NB II |
| Jul 30, 2017 | Kisvarda FC 3-3 MTE 1904 | NB II |
| Apr 30, 2017 | MTE 1904 1-1 Kisvarda FC | NB II |
| Oct 16, 2016 | Kisvarda FC 1-3 MTE 1904 | NB II |
Last archived meeting: MTE 1904 vs Kisvarda FC on Dec 3, 2017
How many goals should we expect?
MTE 1904 score 1.3 and concede 1.4 goals per match over their last 15; Kisvarda FC score 1.7 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| MTE 1904 | 1.3 | 1.4 | 3 | 8/15 | 8/15 |
| Kisvarda FC | 1.7 | 1.5 | 3 | 8/15 | 10/15 |
Over the last 15 matches in all competitions.
How does Footlab compute this prediction?
The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy